Job Description
Are you ready to architect the future?
Nexus Future Labs is on a mission to build the intelligent infrastructure of the year 2026. We are seeking a visionary Senior AI Architect to lead our research and development division. In this role, you won't just implement existing models; you will design the next generation of generative AI, autonomous agents, and neural interfaces that will define the decade ahead.
You will work at the intersection of cutting-edge research and scalable production engineering. If you have a passion for pushing the boundaries of what is possible with Artificial General Intelligence (AGI) and want to be at the forefront of the industry by 2026, we want to hear from you.
Why join us?
- Competitive salary and equity package.
- Work with world-class researchers and engineers.
- Focus on high-impact, long-term projects.
Responsibilities
- Architectural Design: Design and implement scalable AI infrastructure capable of processing petabytes of data to support autonomous systems.
- R&D Leadership: Spearhead research initiatives focused on Natural Language Processing (NLP), Computer Vision, and Reinforcement Learning for 2026 market readiness.
- Model Optimization: Optimize large language models for speed, accuracy, and energy efficiency in edge computing environments.
- Team Mentorship: Mentor junior architects and data scientists, fostering a culture of innovation and technical excellence.
- Strategic Planning: Collaborate with product leads to define the technical roadmap for the next 3-5 years.
- Ethical AI: Ensure all systems adhere to strict ethical guidelines and bias mitigation standards.
Qualifications
- Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural role.
- Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks (Kubernetes, Docker).
- Knowledge: Proven track record of deploying production-grade AI models at scale.
- Innovation: Demonstrated ability to think creatively about solving unsolved problems in AI.
- Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.